# pyFUME

A Python library for automatical Fuzzy Model Estimation from data. pyFUME contains a set of classes and methods to estimate the antecedent sets and the consequent parameters of a Takagi-Sugeno fuzzy model from data, and then create an executable fuzzy model exploiting the Simpful library. pyFUME can be beneficial to practitioners, thanks to its pre-implemented and user-friendly pipelines, but also to researchers that want to fine-tune each step of the estimation process.

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  • Released:
Newer release available (0.3.4)

3 maintainers

PyPI data
Data sourced directly from PyPI's database.
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Credits

Author: Caro Fuchs

License

GNU General Public License (GPL) (LICENSE.txt)

Requires

Python >=3.6

Tags

fuzzy logic fuzzy inference systems fuzzy model data-driven model estimation machine learning

Classifiers

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pyFUME-0.0.4.tar.gz (12.4 kB view details)

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Release history Release notifications | RSS feed

0.3.4

2 files

0.3.1

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0.3.0

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0.2.25

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0.2.24

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0.2.23

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0.1.29

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0.1.28

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0.1.4

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0.1.3

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0.0.5

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This release

0.0.4 This release

1 file

0.0.3

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0.0.2

1 file

0.0.1

2 files

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